Design And Control Strategy Research Of Intelligent Lighting Control System

With the improvement of the economic level of our country and the development of the automobile industrial technology, the demands on automobile safety are higher and higher. The correct use of dynamo has great significance to traffic safety. It is an important factor that dynamo are normal which can give driving signals in light in time according to the driver and good field of view. When a car is running, the alternation of the light can transfer passing a vehicle, paying attention to distance, reminding avoider and some other information. But now the dynamo is almost controlled by hand, the dynamo needs to be controlled frequently when passing a vehicle and crossing at night. Both bring certain work load to the driver and will possibly have some adverse effects because of the driver's negligence.This paper designs an intelligent lighting control system on vehicle, the purpose is to make the light control automate completely, lighten the drivers'working stress and reduce the trouble which brings by the control fault. Meanwhile, it doesn't cancel the manual work, the manual and automatic control can action coinstantaneous. The project has considered various light situations when driving, and it implemented light control based on the traffic regulations. Whether day or night, urban or country, passes in traffic or passes a vehicle, sunny or rain, it can make judgment fast and accurate according to the different environment and put it into action.This article mainly unifies the neural network technology to the design and implementation of the intelligent lighting control system, the prime task includes: Chapter 1: It introduced the current situation of the intelligent lighting control system and defined the purpose and significance of this paper. At last,it confirmed the content of this article.Chapter 2: Made an entire discussion to the intelligent lighting control system, which included introducing the principle and the function of the system and discussing the design programme of the system.Chapter 3: It introduced the hardware design of the intelligent lighting control system. Described each part of the hardware circuit particularly, which included the choice of luminous intensity, temperature and humidity sensor as well as their electric circuits'design; the MCU's choice; design of the minimum system; debugging environment of its software and hardware and design of the relay circuit.Chapter 4: It studied the classification and the recognition methods based on the neural network intelligent lighting control system. Because of the neural network's characteristic and its potential in pattern recognition, this article studied the basic neural network model and used the neural network to carry on massive experiments. Moreover, processed data and simulated the BP network using Matlab.Chapter 5: Gathered and processed some data which the system needs, in the meantime did some experiments and simulation. Through the experiments we can concluded that the intelligent lighting system based on neural network model has good recognition result.Chapter 6: It summarized the full text and put forward the improved suggestions in the future.This article studied in each kind of driving environment, designed and established the input data model based on the BP neural network intelligent lighting control system. Using the network model which has been trained to gather temperature, humidity and luminous, and classify the data sample. The conclusions in the paper are as follows: According to the training of the real-time sample and the testing of the test sample, the model's accuracy is above 98%, which shows that the model is proper, feasible and accurate, it can be applied to the intelligent lighting control system perfectly.